Academic literature on the topic 'Multiple robustness'

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Journal articles on the topic "Multiple robustness"

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Coko, Klodian, and Jutta Schickore. "Robustness, solidity, and multiple determinations." Metascience 22, no. 3 (February 6, 2013): 681–83. http://dx.doi.org/10.1007/s11016-013-9750-1.

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Molina, J., A. Rotnitzky, M. Sued, and J. M. Robins. "Multiple robustness in factorized likelihood models." Biometrika 104, no. 3 (June 15, 2017): 561–81. http://dx.doi.org/10.1093/biomet/asx027.

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Wang, Lei. "Multiple robustness estimation in causal inference." Communications in Statistics - Theory and Methods 48, no. 23 (December 4, 2018): 5701–18. http://dx.doi.org/10.1080/03610926.2018.1520881.

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Ratliff, Jacob, Alessio Franci, Eve Marder, and Timothy O’Leary. "Neuronal oscillator robustness to multiple global perturbations." Biophysical Journal 120, no. 8 (April 2021): 1454–68. http://dx.doi.org/10.1016/j.bpj.2021.01.038.

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Holland, Burt, and Siu Hung Cheung. "Familywise robustness criteria for multiple-comparison procedures." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 64, no. 1 (January 2002): 63–77. http://dx.doi.org/10.1111/1467-9868.00325.

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Cazzavillan, Guido, and Patrick A. Pintus. "Robustness of multiple equilibria in OLG economies." Review of Economic Dynamics 7, no. 2 (April 2004): 456–75. http://dx.doi.org/10.1016/j.red.2003.10.001.

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Clarke, Sandy, and Peter Hall. "Robustness of multiple testing procedures against dependence." Annals of Statistics 37, no. 1 (February 2009): 332–58. http://dx.doi.org/10.1214/07-aos557.

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Dong, Gaogao, Yan Chen, Fan Wang, Ruijin Du, Lixin Tian, and H. Eugene Stanley. "Robustness on interdependent networks with a multiple-to-multiple dependent relationship." Chaos: An Interdisciplinary Journal of Nonlinear Science 29, no. 7 (July 2019): 073107. http://dx.doi.org/10.1063/1.5093074.

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Kwon, Yung-Keun, Junil Kim, and Kwang-Hyun Cho. "Dynamical Robustness against Multiple Mutations in Signaling Networks." IEEE/ACM Transactions on Computational Biology and Bioinformatics 13, no. 5 (September 1, 2016): 996–1002. http://dx.doi.org/10.1109/tcbb.2015.2495251.

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Rangavajhala, Sirisha, and Sankaran Mahadevan. "Design optimization for robustness in multiple performance functions." Structural and Multidisciplinary Optimization 47, no. 4 (December 13, 2012): 523–38. http://dx.doi.org/10.1007/s00158-012-0860-y.

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Dissertations / Theses on the topic "Multiple robustness"

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Miller, Charles W. "Familywise Robustness Criteria Revisited for Newer Multiple Testing Procedures." Diss., Temple University Libraries, 2009. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/40501.

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Statistics
Ph.D.
As the availability of large datasets becomes more prevalent, so does the need to discover significant findings among a large collection of hypotheses. Multiple testing procedures (MTP) are used to control the familywise error rate (FWER) or the chance to commit at least one type I error when performing multiple hypotheses testing. When controlling the FWER, the power of a MTP to detect significant differences decreases as the number of hypotheses increases. It would be ideal to discover the same false null hypotheses despite the family of hypotheses chosen to be tested. Holland and Cheung (2002) developed measures called familywise robustness criteria (FWR) to study the effect of family size on the acceptance and rejection of a hypothesis. Their analysis focused on procedures that controlled FWER and false discovery rate (FDR). Newer MTPs have since been developed which control the generalized FWER (gFWER (k) or k-FWER) and false discovery proportion (FDP) or tail probabilities for the proportion of false positives (TPPFP). This dissertation reviews these newer procedures and then discusses the effect of family size using the FWRs of Holland and Cheung. In the case where the test statistics are independent and the null hypotheses are all true, the Type R enlargement familywise robustness measure can be expressed as a ratio of the expected number of Type I errors. In simulations, positive dependence among the test statistics was introduced, the expected number of Type I errors and the Type R enlargement FWR increased for step-up procedures with higher levels of correlation, but not for step-down or single-step procedures.
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Gu, Wei. "Robustness against interference in Internet of Things." Thesis, Lille 1, 2012. http://www.theses.fr/2012LIL10195/document.

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L'Internet des objets, plus particulièrement les réseaux de capteurs, a attiré beaucoup d'attention ces dernières années. Sa mise en œuvre soulève de nombreuses difficultés, comme la génération d'interférences d'accès multiple (MAI) à caractère impulsif et la consommation d'énergie relativement forte. Les MAI et le bruit thermique doivent être considérés simultanément car ils perturbent fortement les communications. Nous modélisons les MAI et le bruit thermique respectivement par la distribution stable et gaussienne. Nous étudions tout d’abord l’effet des turbo-codes sur le lien direct en utilisant la norme-p comme métrique de décodage. Cette métrique permet une performance de correction d’erreur proche du décodeur optimal. Ensuite nous nous penchons sur les communications coopératives. A l’aide de l’échantillonnage préférentiel, nous estimons les densités de probabilité de la décision statistique du récepteur optimal en présence des bruits stable et gaussien. Cette approche est coûteuse en calcul. Nous proposons donc d’approximer ces densités de probabilité par la distribution gaussienne inverse normale (NIG). Cette solution de calcul est efficace pour approcher le récepteur optimal. Nous montrons également que le récepteur utilisant la norme-p a des performances robustes, quel que soit le type de bruit dominant. A la fin nous combinons les travaux du codage canal et des communications coopératives pour établir une stratégie de codage canal distribué. Basé sur la qualité du lien direct et le niveau de taux d’erreur binaire envisagé, la stratégie d’économie d’énergie peut être mise en place via le choix d’un schéma de codage canal distribué
Internet of Things brought great interests in recent years for its attractive applications and intelligent structure. However, the implementation of sensor networks still presents important challenges such as the generation of Multiple-Access-Interference (MAI) with impulsive nature and the relatively high energy consumption. Both the MAI and the thermal noise should be considered due to their strong impairments each may cause on the communication quality. We employ the stable and Gaussian distributions to model the MAI and the thermal noise respectively. Firstly we study the performance of turbo codes in the direct link and we propose the p-norm as a decoding metric. This metric allows a considerable error correction performance improvement which is close to the optimal decoder. Then we investigate cooperative communications. The probability densities in the decision statistic of the optimal receiver are estimated using importance sampling approach when both the stable and Gaussian noises are present. Such a method is computationally expensive. Hence we develop an approximation approach based on the Normal Inverse Gaussian (NIG) distribution. This solution is efficient for calculation and is proximate to the optimal receiver. In addition we show that the p-norm receiver has robust performance no matter what kind of noise is dominant. At last we combine the channel coding and cooperative communication works to establish a distributed channel coding strategy. Through some simulation assessments, the energy saving strategy can be realized by choosing an appropriate distributed channel coding scheme based on the direct link quality and target bit error rate
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Sandsveden, Li. "Evaluation of the Robustness of the Brain Parenchymal Fraction for Brain Atrophy Measurements." Thesis, Linköpings universitet, Medicinsk informatik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-105801.

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In certain diseases, like Multiple Sklerosis and Alzheimer's disease, the progression of the disease can be measured by whole brain atrophy. A difficulty with this is that all people have very different scull sizes, thus also very different brain sizes. This makes it almost impossible to establish "normal values" for brain size. The spread is very large and the method is not practical to use for individual patients. A method with less spread in healthy persons is to use the ratio of the Brain Parenchymal Fraction (BPF). The use of Brain Parenchymal Fraction has increased steadily since it was first introduced in 1999.  BPF = BPV/ICV This study was performed to increase the knowledge of what is normal and to evaluate the robustness of the BPF as a measurement for brain atrophy. Among other things, the change in the BPF when calculated from incomplete volumes (parts of the scull missing in the set of MR images) was evaluated.  The results show that when parts are missing from the top (superior) of the scull the resulting BPF is strictly higher than the correct PBF and when parts are missing from the lower (inferior) part of teh scull the resulting BPF is stritly lower than teh correct value.  Two different methods where tried to compensate for missing parts. The first method was to find a variable factor to compensate with, the size of this factor was depending on how much of the scull that was missing. The second method was to interpolate the ICV and BPV curves and from the new interpolated curves, calculate a new BPF. The method of compensating incomplete volumes using a factor calculated as a function of the intercranial volume of the first/last available slice turned out to be the better.
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Manzano, Castro Marc. "New robustness evaluation mechanism for complex networks." Doctoral thesis, Universitat de Girona, 2014. http://hdl.handle.net/10803/295713.

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Network science has significantly advanced in the last decade, providing insights into the underlying structure and dynamics of complex networks. Critical infrastructures such as telecommunication networks play a pivotal role in ensuring the smooth functioning of modern day living. These networks have to constantly deal with failures of their components. In multiple failure scenarios, where traditional protection and restoration schemes are not suitable because of the quantity of resources that would be required, the concept of robustness is used in order to quantify just how good a network is under such a large-scale failure scenario. The aim of this thesis is to, firstly, investigate the current challenges that might lead to multiple failure scenarios of present day networks and, secondly, to propose novel metrics able to quantify the network robustness.
La ciència de les xarxes (o network science) ha avançat significativament en l'última dècada, proporcionant coneixement sobre l'estructura subjacent i la dinàmica de les xarxes complexes (o complex networks). Infraestructures crítiques com xarxes de telecomunicacions, juguen un paper fonamental per garantir el bon funcionament de la vida moderna. Aquestes xarxes han de lidiar constantment amb fallades dels seus components. En escenaris de fallades múltiples, on els esquemes de protecció i restauració tradicionals no són adequats degut a la gran quantitat de recursos que serien necessaris, el concepte de robustesa (o robustness) s'utilitza per tal de quantificar com de bona és una xarxa quan es produeix una fallada a gran escala. L'objectiu d'aquesta tesi és, en primer lloc, investigar les amenaces actuals de les xarxes d'avui en dia que poden portar a escenaris de fallades múltiples i, en segon lloc, proposar nous indicadors capaços de quantificar la robustesa d'aquestes xarxes.
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Zhang, Yao. "Load Frequency Control of Multiple-Area Power Systems." Cleveland State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=csu1250196894.

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Joo, Seang-Hwane. "Robustness of the Within- and Between-Series Estimators to Non-Normal Multiple-Baseline Studies: A Monte Carlo Study." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6715.

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In single-case research, multiple-baseline (MB) design is the most widely used design in practical settings. It provides the opportunity to estimate the treatment effect based on not only within-series comparisons of treatment phase to baseline phase observations, but also time-specific between-series comparisons of observations from those that have started treatment to those that are still in the baseline. In MB studies, the average treatment effect and the variation of these effects across multiple participants can be estimated using various statistical modeling methods. Recently, two types of statistical modeling methods were proposed for analyzing MB studies: a) within-series model and b) between-series model. The within-series model is a typical two-level multilevel modeling approach analyzing the measurement occasions within a participant, whereas the between-series model is an alternative modeling approach analyzing participants’ measurement occasions at certain time points, where some participants are in the baseline phase and others are in the treatment phase. Parameters of both within- and between-series models are generally estimated with restricted maximum likelihood (ReML) estimation and ReML is developed based on the assumption of normality (Hox, et al., 2010; Raudenbush & Bryk, 2002). However, in practical educational and psychological settings, observed data may not be easily assumed to be normal. Therefore, the purpose of this study is to investigate the robustness of analyzing MB studies with the within- and between-series models when level-1 errors are non-normal. A Monte Carlo study was conducted under the conditions where level-1 errors were generated from non-normal distributions in which skewness and kurtosis of the distribution were manipulated. Four statistical approaches were considered for comparison based on theoretical and/or empirical rationales. The approaches were defined by the crossing of two analytic decisions: a) whether to use a within- or between-series estimate of effect and b) whether to use REML estimation with Kenward-Roger adjustment for inferences or Bayesian estimation and inference. The accuracy of parameter estimation and statistical power and Type I error were systematically analyzed. The results of the study showed the within- and between-series models are robust to the non-normality of the level-1 error variance. Both within- and between-series models estimated the treatment effect accurately and statistical inferences were acceptable. ReML and Bayesian estimations also showed similar results in the current study. Applications and implications for applied and methodology researchers are discussed based on the findings of the study.
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Liang, Xiyin. "Security and robustness of a modified parameter modulation communication scheme." Thesis, Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-04072009-204834/.

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Xu, Guoqing. "Assessment of risk of disproportionate collapse of steel building structures exposed to multiple hazards." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41079.

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Vulnerability of buildings to disproportionate (or progressive) collapse has become an increasingly important performance issue following the collapses of the Alfred P. Murrah Federal Building in Oklahoma City in 1995 and the World Trade Center in 2001. Although considerable research has been conducted on this topic, there are still numerous unresolved research issues. This dissertation is aimed at developing structural models and analysis procedures for robustness assessment of steel building structures typical of construction practices in the United States, and assessing the performance of these typical structures. Beam-column connections are usually the most vulnerable elements in steel buildings structures suffering local damage. Models of three typical frame connections for use in robustness assessment have been developed with different techniques, depending on the experimental data available to support such models. A probabilistic model of a pre-Northridge moment-resisting connection was developed through finite element simulations, in which the uncertainties in the initial flaw size, beam yield strength and fracture toughness of the weld were considered. A macro-model for a bolted T-stub connections was developed by considering the behavior of each connection element individually (i.e. T-stub, shear tab and panel zone) and assembling the elements to form a complete connection model, which was subsequently calibrated to experimental data. For modeling riveted connections in older steel buildings that might be candidates for rehabilitation, a new method was proposed to take advantage of available experimental data from tests of earthquake-resistant connections and to take into account the effects of the unequal compressive and tensile stiffnesses of top and bottom parts in a connection and catenary action. These connection models were integrated into nonlinear finite element models of structural systems to allow the effect of catenary and other large-deformation action on the behavior of the frames and their connections following initial local structural damage to be assessed. The performance of pre-Northridge moment-resisting frames was assessed with both mean-centered deterministic and probabilistic assessment procedures; the significance of uncertainties in collapse assessment was examined by comparing the results from both procedures. A deterministic assessment of frames with full and partial-strength bolted T-stub connections was conducted considering three typical beam spans in both directions. The vulnerability of an older steel building with riveted connections was also analyzed deterministically. The contributions from unreinforced masonry infill panels and reinforced concrete slabs on the behavior of the building were investigated. To meet the need for a relatively simple procedure for preliminary vulnerability assessment, an energy-based nonlinear static pushdown analysis procedure was developed. This procedure provides an alternative method of static analysis of disproportionate collapse vulnerability that can be used as an assessment tool for regular building frames subjected to local damage. Through modal analysis, dominant vibration modes of a damaged frame were first identified. The structure was divided into two parts, each of which had different vibration characteristics and was modeled by a single degree-of-freedom (SDOF) system separately. The predictions were found to be sufficiently close to the results of a nonlinear dynamic time history analysis (NTHA) that the method would be useful for collapse-resistant design of buildings with regular steel framing systems.
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Hajian-Tilaki, Karimollah. "Methodologic contributions to ROC analysis : a study of the robustness of the binormal model for quantitative data and methods for studies involving multiple signals." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=29034.

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The purpose of this dissertation is twofold: (i) to examine the robustness of the binormal model as a "semi-parametric" approach to ROC analysis for quantitative diagnostic tests; (ii) to develop nonparametric methods for ROC analysis of data concerning multiple "signals".
Metz et al (1990) adapted the binormal model, used previously for rating data only, for ROC analysis of quantitative diagnostic tests. Their investigation of its performance was limited to data generated from the bi-normal model itself. Part (i) of this thesis describes a broader numerical investigation to assess how it performs in various configurations of non-binormal pairs of distributions, where one or both pair members were mixtures of Gaussian (MG) distributions. We also investigated the effects of sample size and the number of data categories used. Three criteria, bias in estimates of the area under the curve (AUC), bias in estimated true positive fraction (TPF's) at specific false positive fraction (FPF) points, and discrepancies between the estimated and true TPF over the wider portion of the ROC curve, were used to assess the impact of departures from binormality. The bias in the estimates of AUC was small for all configurations studied, no matter what amount of discretization and what sample sizes were used. By the other criteria, the binormal model was robust to departures involving $ {$G, MG--skewed or bimodal$ }$ pairs. The fits were less appropriate at FPF = 0.05 and 0.10 when both pair-members were skewed to the right, but even then the bias in estimates of TPF was less than 0.06. The "semi-parametric" and nonparametric approaches yielded very similar estimates of AUC and of the corresponding sampling variability.
Part (ii) develops nonparametric ROC analysis for the situation when pathology and test interpretation data for each patient are K-dimensional. The approach computes K "pseudo-accuracies" for each patient; from these, K U-statistics are derived. One can form a summary index from these K components, as well as the standard error (SE) of this index based on the observed correlations among the pseudo-accuracies. The applicability of a simplified formula for the SE was assessed. The method was also extended to comparisons of two diagnostic systems. The procedures are illustrated using data sets from two clinical studies. The approach can handle the complex structure of multi-signal ROC data; it takes the various inter-correlations into account, and makes efficient use of the data.
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Nair, Suraj [Verfasser], Alois [Akademischer Betreuer] Knoll, and Dieter [Akademischer Betreuer] Fox. "Visual Tracking of Multiple Humans with Machine Learning based Robustness Enhancement applied to Real-World Robotic Systems / Suraj Nair. Gutachter: Alois Knoll ; Dieter Fox. Betreuer: Alois Knoll." München : Universitätsbibliothek der TU München, 2012. http://d-nb.info/1031076166/34.

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Books on the topic "Multiple robustness"

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Robustness of Multiple Objective Decision Analysis Preference Functions. Storming Media, 2002.

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Van, Rosendale John, and Langley Research Center, eds. The improved robustness of multigrid elliptic solvers based on multiple semicoarsened grids. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1991.

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Stanford, Ben. Critical Control Point Assessment to Quantify Robustness and Reliability of Multiple Treatment Barriers of a DPR Scheme. IWA Publishing, 2017.

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Kim, Hyunchul. Robustness and power of procedures for pairwise multiple comparisons of repeated measures means in the split plot design. 1995.

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Duclos, Jean-Yves, and Luca Tiberti. Multidimensional Poverty Indices. Edited by Matthew D. Adler and Marc Fleurbaey. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199325818.013.19.

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This chapter reviews and assesses issues involved in the measurement of multidimensional poverty, in particular the soundness of the various “axioms” and properties often imposed on poverty indices. It argues that some of these properties (such as those relating poverty and inequality) may be sound in a unidimensional setting but not so in a multidimensional one. Second, it addresses critically some of the features of recently proposed multidimensional poverty indices, in particular the Multidimensional Poverty Index (MPI) recently put forward by the United Nations Development Program. The MPI suffers from several unattractive features that need to be better understood (given the prominence of the index). The MPI fails in particular to meet all of three properties that one would expect multidimensional poverty indices to obey: continuity, monotonicity, and sensitivity to multiple deprivation. Robustness techniques to address some of the shortcomings of the use of such indices are briefly advocated.
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Bianconi, Ginestra. Classical Percolation, Generalized Percolation and Cascades. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.003.0012.

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This chapter characterizes the robustness of multiplex and multilayer networks using classical percolation, directed percolation and antagonistic percolation. Classical percolation determines whether a finite fraction of nodes of the multilayer networks are connected by any type of connection. Classical percolation can be affected by multiplexity since the degree correlations among different layers can modulate the robustness of the entire multilayer network. Directed percolation describes the propagation of a disease requiring cooperative infection from different layers of the multiplex network. It displays a rich phase diagram including both continuous and discontinuous phase transitions. Antagonist percolation on a duplex network describes the competition between two layers and can give rise to hysteresis loops corresponding to phases that either one layer or the other can percolate Avalanches generated by the generalized Sandpile Model and Watts–Strogatz Model are also discussed, emphasizing their relevance for studying the stability of power grids and financial systems.
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Hensel, Paul R. Review of Available Data Sets. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190846626.013.418.

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The International Studies Association’s (ISA) Scientific Study of International Processes (SSIP) section is dedicated to the systematic analysis of empirical data covering the entire range of international political questions. Drawing on the canons of scientific inquiry, SSIP seeks to support and promote replicable research in terms of the clarity of a theoretical argument and/or the testing of hypotheses. Journals that have been most likely to publish SSIP-related research include the top three general journals in the field of political science: the American Political Science Review, American Journal of Political Science, and Journal of Politics. A number of more specialized journals frequently publish research of interest to the SSIP community, such as Conflict Management and Peace Science, International Interactions, International Organization, International Studies Quarterly, Journal of Conflict Resolution, and Journal of Peace Research. Together, these journals published a total of 1,024 qualifying articles between 2003 and 2010. These articles cover a wide range of topics, from armed conflict and conflict management to terrorism, international political economy, economic development or growth, monetary policy, foreign aid, sanctions, human rights and repression, international law, international organizations/institutions, and foreign policy attitudes and beliefs. Data users who are interested in conducting their own research must: choose the most appropriate data set(s), become familiar with what the data set includes and how its central concepts are measured, multipurpose data sources, investigate missing data, and assess robustness across multiple data sets.
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Book chapters on the topic "Multiple robustness"

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Boone, Worth. "Multiple Realization and Robustness." In History, Philosophy and Theory of the Life Sciences, 75–94. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01198-7_4.

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Wei, Zheng, Daeyoung Kim, Tonghui Wang, and Teerawut Teetranont. "A Multivariate Generalized FGM Copulas and Its Application to Multiple Regression." In Robustness in Econometrics, 363–78. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50742-2_22.

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Wieber, Frédéric. "Multiple Means of Determination and Multiple Constraints of Construction: Robustness and Strategies for Modeling Macromolecular Objects." In Characterizing the Robustness of Science, 267–88. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2759-5_11.

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Nederbragt, Hubertus. "Multiple Derivability and the Reliability and Stabilization of Theories." In Characterizing the Robustness of Science, 121–45. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2759-5_5.

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Siskos, Eleftherios, Giannis Kourousias, and Yannis Siskos. "Bipolar Multicriteria Aggregation-Disaggregation Robustness Approach: Theory and Application on European e-Government Benchmarking." In Multiple Criteria Decision Making, 121–52. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7414-3_7.

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Khan, Akhtar A., Elisabeth Köbis, and Christiane Tammer. "Scalarization Methods in Multiobjective Optimization, Robustness, Risk Theory and Finance." In Multiple Criteria Decision Making in Finance, Insurance and Investment, 135–57. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21158-9_6.

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Palar, Pramudita Satria, and Koji Shimoyama. "Multiple Metamodels for Robustness Estimation in Multi-objective Robust Optimization." In Lecture Notes in Computer Science, 469–83. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54157-0_32.

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Hunt, Rachel, Mark Johnston, and Mengjie Zhang. "Improving Robustness of Multiple-Objective Genetic Programming for Object Detection." In AI 2011: Advances in Artificial Intelligence, 311–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25832-9_32.

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Brown, Matthew, William B. Haskell, and Milind Tambe. "Addressing Scalability and Robustness in Security Games with Multiple Boundedly Rational Adversaries." In Lecture Notes in Computer Science, 23–42. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12601-2_2.

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Zhang, Zhenya, Deyun Lyu, Paolo Arcaini, Lei Ma, Ichiro Hasuo, and Jianjun Zhao. "Effective Hybrid System Falsification Using Monte Carlo Tree Search Guided by QB-Robustness." In Computer Aided Verification, 595–618. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81685-8_29.

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AbstractHybrid system falsification is an important quality assurance method for cyber-physical systems with the advantage of scalability and feasibility in practice than exhaustive verification. Falsification, given a desired temporal specification, tries to find an input of violation instead of a proof guarantee. The state-of-the-art falsification approaches often employ stochastic hill-climbing optimization that minimizes the degree of satisfaction of the temporal specification, given by its quantitative robust semantics. However, it has been shown that the performance of falsification could be severely affected by the so-called scale problem, related to the different scales of the signals used in the specification (e.g., rpm and speed): in the robustness computation, the contribution of a signal could be masked by another one. In this paper, we propose a novel approach to tackle this problem. We first introduce a new robustness definition, called QB-Robustness, which combines classical Boolean satisfaction and quantitative robustness. We prove that QB-Robustness can be used to judge the satisfaction of the specification and avoid the scale problem in its computation. QB-Robustness is exploited by a falsification approach based on Monte Carlo Tree Search over the structure of the formal specification. First, tree traversal identifies the sub-formulas for which it is needed to compute the quantitative robustness. Then, on the leaves, numerical hill-climbing optimization is performed, aiming to falsify such sub-formulas. Our in-depth evaluation on multiple benchmarks demonstrates that our approach achieves better falsification results than the state-of-the-art falsification approaches guided by the classical quantitative robustness, and it is largely not affected by the scale problem.
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Conference papers on the topic "Multiple robustness"

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Coraluppi, Stefano. "Robustness in Multiple-Hypothesis Tracking." In 2022 25th International Conference on Information Fusion (FUSION). IEEE, 2022. http://dx.doi.org/10.23919/fusion49751.2022.9841345.

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Stecha, Jan, Vladimir Havlena, and Jiri Roubal. "Robustness of multiple model LQ control." In 2003 European Control Conference (ECC). IEEE, 2003. http://dx.doi.org/10.23919/ecc.2003.7085277.

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Pimentel, Benjamin, Alex Bordetsky, and Ralucca Gera. "Robustness in Nonorthogonal Multiple Access 5G Networks." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2022. http://dx.doi.org/10.24251/hicss.2022.893.

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Fan, Wang, Dong Gaogao, Du Ruijin, and Tian Lixin. "Robustness of multiple interdependent networks under shell attack." In 2017 36th Chinese Control Conference (CCC). IEEE, 2017. http://dx.doi.org/10.23919/chicc.2017.8027554.

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Ubar, Raimund, Sergei Kostin, and Jaan Raik. "About robustness of test patterns regarding multiple faults." In 2012 13th Latin American Test Workshop - LATW. IEEE, 2012. http://dx.doi.org/10.1109/latw.2012.6261243.

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Frehse, Stefan, Görschwin Fey, André Suflow, and Rolf Drechsler. "Robustness Check for Multiple Faults Using Formal Techniques." In 2009 12th Euromicro Conference on Digital System Design, Architectures, Methods and Tools (DSD). IEEE, 2009. http://dx.doi.org/10.1109/dsd.2009.218.

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Segovia, Juan, Jose L. Marzo, Eusebi Calle, and Pere Vila. "Robustness analysis to multiple failures in GMPLS networks." In 2010 12th International Conference on Transparent Optical Networks (ICTON). IEEE, 2010. http://dx.doi.org/10.1109/icton.2010.5548982.

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Xie, Xiaoyuan, Ying Duan, Songqiang Chen, and Jifeng Xuan. "Towards the Robustness of Multiple Object Tracking Systems." In 2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE). IEEE, 2022. http://dx.doi.org/10.1109/issre55969.2022.00046.

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Dasari, Venkateswara R., Billy Geerhart, and David Alexander. "Increasing image segmentation accuracy on small datasets by merging multiple inferences on augmented images." In Security, Robustness, and Trust in Artificial Intelligence and Distributed Architectures, edited by Misty Blowers, Russell D. Hall, and Venkateswara R. Dasari. SPIE, 2022. http://dx.doi.org/10.1117/12.2618571.

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Miyauchi, Ryoichi, Akio Yoshida, Shuya Nakano, Hiroki Tamura, Koichi Tanno, Yutaka Fukuchi, Yukio Kawamura, Yuki Kodama, and Yuichi Sekiya. "Novel Fractional-N All Digital Frequency Locked Loop with Robustness for PVT variation." In 2020 IEEE 50th International Symposium on Multiple-Valued Logic (ISMVL). IEEE, 2020. http://dx.doi.org/10.1109/ismvl49045.2020.00-12.

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Reports on the topic "Multiple robustness"

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Hurdle, Daniel J. Development of Stability/Robustness Considerations for Control System Design with Multiple Input/Multiple Output Plants. Fort Belvoir, VA: Defense Technical Information Center, June 1988. http://dx.doi.org/10.21236/ada200408.

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Lettenmaier, D. P., K. L. Brettman, and L. W. Vail. Robustness of a multiple-use reservoir to seasonal runoff shifts associated with climate change. Office of Scientific and Technical Information (OSTI), May 1990. http://dx.doi.org/10.2172/6418073.

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Mitra, Sudeshna, Amlanjyoti Goswami, Deepika Jha, Sahil Sasidharan, Kaye Lushington, and Tsomo Wangchuk. Land Records Modernisation in India: Himachal Pradesh. Indian Institute for Human Settlements, 2021. http://dx.doi.org/10.24943/9788195648504.

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This work provides an institutional, legal and policy review of crucial aspects of land records modernisation systems in Himachal Pradesh. A state characterised by hilly terrain, high forest cover and low urbanisation, Himachal Pradesh provides useful lessons to understand the robustness and diversity of land record administration systems. The property regimes that have historically developed in the state include customary rights, common property resources, jointly held rights, and multiple other use and possession arrangements. There is a restriction on who can transact properties in the state, aimed at preventing alienation of land. Settlement operations are conducted every 40 years, and often take a long time to complete, but have led to relatively more up-to-date records than some other states. There are also concerns regarding the accuracy of spatial records, and data mismatches between textual and spatial components of the existing record versus the new technology led survey data if often is a cause of disputes.
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Chow, S. I., M. D. Zoltowski, and G. M. Kautz. Multiply-Constrained MVDR Matched Field Processing With A-Posteriori Constraints for Enhanced Robustness to Mismatch. Fort Belvoir, VA: Defense Technical Information Center, December 1991. http://dx.doi.org/10.21236/ada244883.

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Dahal, Sachindra, and Jeffery Roesler. Passive Sensing of Electromagnetic Signature of Roadway Material for Lateral Positioning of Vehicle. Illinois Center for Transportation, November 2021. http://dx.doi.org/10.36501/0197-9191/21-039.

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Autonomous vehicles (AV) and advanced driver-assistance systems (ADAS) offer multiple safety benefits for drivers and road agencies. However, maintaining the lateral position of an AV or a vehicle with ADAS within a lane is a challenge, especially in adverse weather conditions when lane markings are occluded. For significant penetration of AV without compromising safety, vehicle-to-infrastructure sensing capabilities are necessary, especially during severe weather conditions. This research proposes a method to create a continuous electromagnetic (EM) signature on the roadway, using materials compatible with existing paving materials and construction methods. Laboratory testing of the proposed concept was performed on notched concrete-slab specimens and concrete prisms containing EM materials. An induction-based eddy-current sensor and magnetometers were implemented to detect the EM signature. The detected signals were compared to evaluate the effects of sensor height above the concrete surface, type of EM materials, EM-material volume, material shape, and volume of EM concrete prisms. A layer of up to 2 in. (5.1 cm) of water, ice, snow, or sand was placed between the sensor and the concrete slab to represent adverse weather conditions. Results showed that factors such as sensor height, EM-material volume, EM dosage, types of the EM material, and shape of the EM material in the prism were significant attenuators of the EM signal and must be engineered properly. Presence of adverse surface conditions had a negligible effect, as compared to normal conditions, indicating robustness of the presented method. This study proposes a promising method to complement existing sensors’ limitations in AVs and ADAS for effective lane-keeping during normal and adverse weather conditions with the help of vehicle-to-pavement interaction.
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McEntee, Alice, Sonia Hines, Joshua Trigg, Kate Fairweather, Ashleigh Guillaumier, Jane Fischer, Billie Bonevski, James A. Smith, Carlene Wilson, and Jacqueline Bowden. Tobacco cessation in CALD communities. The Sax Institute, June 2022. http://dx.doi.org/10.57022/sneg4189.

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Background Australia is a multi-cultural society with increasing rates of people from culturally and linguistically diverse (CALD) backgrounds. On average, CALD groups have higher rates of tobacco use, lower participation in cancer screening programs, and poorer health outcomes than the general Australian population. Lower cancer screening and smoking cessation rates are due to differing cultural norms, health-related attitudes, and beliefs, and language barriers. Interventions can help address these potential barriers and increase tobacco cessation and cancer screening rates among CALD groups. Cancer Council NSW (CCNSW) aims to reduce the impact of cancer and improve cancer outcomes for priority populations including CALD communities. In line with this objective, CCNSW commissioned this rapid review of interventions implemented in Australia and comparable countries. Review questions This review aimed to address the following specific questions: Question 1 (Q1): What smoking cessation interventions have been proven effective in reducing or preventing smoking among culturally and linguistically diverse communities? Question 2 (Q2): What screening interventions have proven effective in increasing participation in population cancer screening programs among culturally and linguistically diverse populations? This review focused on Chinese-, Vietnamese- and Arabic-speaking people as they are the largest CALD groups in Australia and have high rates of tobacco use and poor screening adherence in NSW. Summary of methods An extensive search of peer-reviewed and grey literature published between January 2013-March 2022 identified 19 eligible studies for inclusion in the Q1 review and 49 studies for the Q2 review. The National Health and Medical Research Council (NHMRC) Levels of Evidence and Joanna Briggs Institute’s (JBI) Critical Appraisal Tools were used to assess the robustness and quality of the included studies, respectively. Key findings Findings are reported by components of an intervention overall and for each CALD group. By understanding the effectiveness of individual components, results will demonstrate key building blocks of an effective intervention. Question 1: What smoking cessation interventions have been proven effective in reducing or preventing smoking among culturally and linguistically diverse communities? Thirteen of the 19 studies were Level IV (L4) evidence, four were Level III (L3), one was Level II (L2), none were L1 (highest level of evidence) and one study’s evidence level was unable to be determined. The quality of included studies varied. Fifteen tobacco cessation intervention components were included, with most interventions involving at least three components (range 2-6). Written information (14 studies), and education sessions (10 studies) were the most common components included in an intervention. Eight of the 15 intervention components explored had promising evidence for use with Chinese-speaking participants (written information, education sessions, visual information, counselling, involving a family member or friend, nicotine replacement therapy, branded merchandise, and mobile messaging). Another two components (media campaign and telephone follow-up) had evidence aggregated across CALD groups (i.e., results for Chinese-speaking participants were combined with other CALD group(s)). No intervention component was deemed of sufficient evidence for use with Vietnamese-speaking participants and four intervention components had aggregated evidence (written information, education sessions, counselling, nicotine replacement therapy). Counselling was the only intervention component to have promising evidence for use with Arabic-speaking participants and one had mixed evidence (written information). Question 2: What screening interventions have proven effective in increasing participation in population cancer screening programs among culturally and linguistically diverse populations? Two of the 49 studies were Level I (L1) evidence, 13 L2, seven L3, 25 L4 and two studies’ level of evidence was unable to be determined. Eighteen intervention components were assessed with most interventions involving 3-4 components (range 1-6). Education sessions (32 studies), written information (23 studies) and patient navigation (10 studies) were the most common components. Seven of the 18 cancer screening intervention components had promising evidence to support their use with Vietnamese-speaking participants (education sessions, written information, patient navigation, visual information, peer/community health worker, counselling, and peer experience). The component, opportunity to be screened (e.g. mailed or handed a bowel screening test), had aggregated evidence regarding its use with Vietnamese-speaking participants. Seven intervention components (education session, written information, visual information, peer/community health worker, opportunity to be screened, counselling, and branded merchandise) also had promising evidence to support their use with Chinese-speaking participants whilst two components had mixed (patient navigation) or aggregated (media campaign) evidence. One intervention component for use with Arabic-speaking participants had promising evidence to support its use (opportunity to be screened) and eight intervention components had mixed or aggregated support (education sessions, written information, patient navigation, visual information, peer/community health worker, peer experience, media campaign, and anatomical models). Gaps in the evidence There were four noteworthy gaps in the evidence: 1. No systematic review was captured for Q1, and only two studies were randomised controlled trials. Much of the evidence is therefore based on lower level study designs, with risk of bias. 2. Many studies provided inadequate detail regarding their intervention design which impacts both the quality appraisal and how mixed finding results can be interpreted. 3. Several intervention components were found to have supportive evidence available only at the aggregate level. Further research is warranted to determine the interventions effectiveness with the individual CALD participant group only. 4. The evidence regarding the effectiveness of certain intervention components were either unknown (no studies) or insufficient (only one study) across CALD groups. This was the predominately the case for Arabic-speaking participants for both Q1 and Q2, and for Vietnamese-speaking participants for Q1. Further research is therefore warranted. Applicability Most of the intervention components included in this review are applicable for use in the Australian context, and NSW specifically. However, intervention components assessed as having insufficient, mixed, or no evidence require further research. Cancer screening and tobacco cessation interventions targeting Chinese-speaking participants were more common and therefore showed more evidence of effectiveness for the intervention components explored. There was support for cancer screening intervention components targeting Vietnamese-speaking participants but not for tobacco cessation interventions. There were few interventions implemented for Arabic-speaking participants that addressed tobacco cessation and screening adherence. Much of the evidence for Vietnamese and Arabic-speaking participants was further limited by studies co-recruiting multiple CALD groups and reporting aggregate results. Conclusion There is sound evidence for use of a range of intervention components to address tobacco cessation and cancer screening adherence among Chinese-speaking populations, and cancer screening adherence among Vietnamese-speaking populations. Evidence is lacking regarding the effectiveness of tobacco cessation interventions with Vietnamese- and Arabic-speaking participants, and cancer screening interventions for Arabic-speaking participants. More research is required to determine whether components considered effective for use in one CALD group are applicable to other CALD populations.
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